Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs

Growing attractiveness of Mobile Ad Hoc Networks (MANETs), its features, and usage has led to the launching of threats and attacks to bring negative consequences in the society. The typical features of MANETs, especially with dynamic topology and open wireless medium, may leave MANETs vulnerable. Tr...

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Main Authors: Anitha Veerasamy, Srinivasa Rao Madane, K. Sivakumar, Audithan Sivaraman
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2016/3596345
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author Anitha Veerasamy
Srinivasa Rao Madane
K. Sivakumar
Audithan Sivaraman
author_facet Anitha Veerasamy
Srinivasa Rao Madane
K. Sivakumar
Audithan Sivaraman
author_sort Anitha Veerasamy
collection DOAJ
description Growing attractiveness of Mobile Ad Hoc Networks (MANETs), its features, and usage has led to the launching of threats and attacks to bring negative consequences in the society. The typical features of MANETs, especially with dynamic topology and open wireless medium, may leave MANETs vulnerable. Trust management using uncertain reasoning scheme has previously attempted to solve this problem. However, it produces additional overhead while securing the network. Hence, a Location and Trust-based secure communication scheme (L&TS) is proposed to overcome this limitation. Since the design securing requires more than two data algorithms, the cost of the system goes up. Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. The Elliptic Curve function is used to isolate a malicious node, thereby incorporating secure data transfer. Simulation results show that the dynamic estimation of the metrics improves throughput by 26% in L&TS when compared to the TMUR. ACFG achieves 33% and 51% throughput increase when compared to L&TS and TMUR mechanisms, respectively.
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institution Kabale University
issn 2356-6140
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language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-980c68f3fb7c470588467f4927cb68c82025-02-03T01:33:07ZengWileyThe Scientific World Journal2356-61401537-744X2016-01-01201610.1155/2016/35963453596345Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETsAnitha Veerasamy0Srinivasa Rao Madane1K. Sivakumar2Audithan Sivaraman3Department of Information Technology, Anna University, Chennai, Tamil Nadu 600025, IndiaDepartment of Computer Science and Engineering, Adhiparasakthi College of Engineering, Vellore, Tamil Nadu 603319, IndiaDepartment of Computer Science, College of Computer Science, King Khalid University, Abha 62529, Saudi ArabiaDepartment of Electronics and Communication Engineering, PRIST University, Thanjavur, Tamil Nadu 613403, IndiaGrowing attractiveness of Mobile Ad Hoc Networks (MANETs), its features, and usage has led to the launching of threats and attacks to bring negative consequences in the society. The typical features of MANETs, especially with dynamic topology and open wireless medium, may leave MANETs vulnerable. Trust management using uncertain reasoning scheme has previously attempted to solve this problem. However, it produces additional overhead while securing the network. Hence, a Location and Trust-based secure communication scheme (L&TS) is proposed to overcome this limitation. Since the design securing requires more than two data algorithms, the cost of the system goes up. Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. The Elliptic Curve function is used to isolate a malicious node, thereby incorporating secure data transfer. Simulation results show that the dynamic estimation of the metrics improves throughput by 26% in L&TS when compared to the TMUR. ACFG achieves 33% and 51% throughput increase when compared to L&TS and TMUR mechanisms, respectively.http://dx.doi.org/10.1155/2016/3596345
spellingShingle Anitha Veerasamy
Srinivasa Rao Madane
K. Sivakumar
Audithan Sivaraman
Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs
The Scientific World Journal
title Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs
title_full Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs
title_fullStr Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs
title_full_unstemmed Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs
title_short Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs
title_sort angle and context free grammar based precarious node detection and secure data transmission in manets
url http://dx.doi.org/10.1155/2016/3596345
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AT ksivakumar angleandcontextfreegrammarbasedprecariousnodedetectionandsecuredatatransmissioninmanets
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